Request Syntax Request Parameters Response Syntax Response Elements Errors Examples See Also

CreateBatchPrediction

Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a DataSource. This operation creates a new BatchPrediction, and uses an MLModel and the data files referenced by the DataSource as information sources.

CreateBatchPrediction is an asynchronous operation. In response to CreateBatchPrediction, Amazon Machine Learning (Amazon ML) immediately returns and sets the BatchPrediction status to PENDING. After the BatchPrediction completes, Amazon ML sets the status to COMPLETED.

You can poll for status updates by using the GetBatchPrediction operation and checking the Status parameter of the result. After the COMPLETED status appears, the results are available in the location specified by the OutputUri parameter.

Request Syntax


{
   "BatchPredictionDataSourceId": "string",
   "BatchPredictionId": "string",
   "BatchPredictionName": "string",
   "MLModelId": "string",
   "OutputUri": "string"
}

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

BatchPredictionDataSourceId

The ID of the DataSource that points to the group of observations to predict.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

Required: Yes

BatchPredictionId

A user-supplied ID that uniquely identifies the BatchPrediction.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

Required: Yes

BatchPredictionName

A user-supplied name or description of the BatchPrediction. BatchPredictionName can only use the UTF-8 character set.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: .*\S.*|^$

Required: No

MLModelId

The ID of the MLModel that will generate predictions for the group of observations.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

Required: Yes

OutputUri

The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the s3 key portion of the outputURI field: ':', '//', '/./', '/../'.

Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the Amazon Machine Learning Developer Guide.

Type: String

Length Constraints: Maximum length of 2048.

Pattern: s3://([^/]+)(/.*)?

Required: Yes

Response Syntax


{
   "BatchPredictionId": "string"
}

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

BatchPredictionId

A user-supplied ID that uniquely identifies the BatchPrediction. This value is identical to the value of the BatchPredictionId in the request.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

Errors

For information about the errors that are common to all actions, see Common Errors.

IdempotentParameterMismatchException

A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.

HTTP Status Code: 400

InternalServerException

An error on the server occurred when trying to process a request.

HTTP Status Code: 500

InvalidInputException

An error on the client occurred. Typically, the cause is an invalid input value.

HTTP Status Code: 400

Examples

The following is a sample request and response of the BatchPrediction operation.

This example illustrates one usage of CreateBatchPrediction.

Sample Request


POST / HTTP/1.1
Host: machinelearning.<region>.<domain>
x-amz-Date: <Date>
Authorization: AWS4-HMAC-SHA256 Credential=<Credential>, SignedHeaders=contenttype;date;host;user-agent;x-amz-date;x-amz-target;x-amzn-requestid,Signature=<Signature>
User-Agent: <UserAgentString>
Content-Type: application/x-amz-json-1.1
Content-Length: <PayloadSizeBytes>
Connection: Keep-Alive
X-Amz-Target: AmazonML_20141212.CreateBatchPrediction
{
  "BatchPredictionId": "EXAMPLE-bp-2014-09-12-15-14-04-156", 
  "BatchPredictionName": "EXAMPLE", 
  "MLModelId": "EXAMPLE-pr-2014-09-12-15-14-04-924", 
  "BatchPredictionDataSourceId": "EXAMPLE-tr-ds-2014-09-12-15-14-04-989", 
  "OutputUri": "s3://eml-test-EXAMPLE/test-outputs/EXAMPLE-bp-2014-09-12-15-14-04-156/results"
}

Sample Response


HTTP/1.1 200 OK
x-amzn-RequestId: <RequestId>
Content-Type: application/x-amz-json-1.1
Content-Length: <PayloadSizeBytes>
Date: <Date>
{"BatchPredictionId":"EXAMPLE-bp-2014-09-12-15-14-04-156"}